KI in der Krebserkennung
Einsatz von Deep Learning und KI-Methoden zur frühzeitigen Erkennung und Klassifikation von Tumoren.
Krebs frühzeitig zu erkennen kann Leben retten – und genau hier setzt KI an. Deep-Learning-Modelle erreichen inzwischen bei bestimmten Tumorarten eine Erkennungsgenauigkeit, die mit der erfahrener Pathologen vergleichbar ist. Die Forschung umfasst Hautkrebs-Screening, Brustkrebs-Mammographie, Lungennoduli-Erkennung und vieles mehr. Hier finden Sie die einflussreichsten und neuesten Studien zu diesem Thema.
Top 10 – Meistzitierte Papers
Top 2026von 101.396 Papers
A survey on deep learning in medical image analysis
2017 · 13.697 Zit.
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.287 Zit.
A survey on Image Data Augmentation for Deep Learning
2019 · 11.881 Zit.
QuPath: Open source software for digital pathology image analysis
2017 · 8.262 Zit.
Radiomics: Images Are More than Pictures, They Are Data
2015 · 8.056 Zit.
Unified segmentation
2005 · 7.452 Zit.
A method of comparing the areas under receiver operating characteristic curves derived from the same cases.
1983 · 7.071 Zit.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
2014 · 6.292 Zit.
ImageJ2: ImageJ for the next generation of scientific image data
2017 · 6.140 Zit.
Radiomics: Extracting more information from medical images using advanced feature analysis
2012 · 5.777 Zit.
Top 10 – Neueste Papers
zuletzt veröffentlicht
Gene Selection for Breast Cancer Classification Using T-Test Filtering and Wrapper-Based Optimization
2026-12-31 · 0 Zit.
Gene Selection for Breast Cancer Classification Using T-Test Filtering and Wrapper-Based Optimization
2026-12-31 · 0 Zit.
Detection and Classification of Lesions in Digital Breast Tomosynthesis Using a Two-Stage Deep Learning Pipeline
2026-07-01 · 0 Zit.
Geometric design optimization of AI-aided system for reliable detection of flat lesions in CT colonography
2026-07-01 · 0 Zit.
Exploring Machine Learning and Deep Learning for Early Detection of Prostate Cancer
2026-04-15 · 0 Zit.
Breast Cancer Diagnosis Through Machine Learning Classification Algorithms: An Experimental Study
2026-04-10 · 0 Zit.
Breast Cancer Diagnosis Through Machine Learning Classification Algorithms: An Experimental Study
2026-04-10 · 0 Zit.
Iterative confidence-based pseudo-labeling for semi-supervised lung cancer segmentation under annotation scarcity
2026-04-08 · 0 Zit.
A Proximal Approach for Stain Separation and Normalization of Whole-Slide Histopathological Images
2026-04-08 · 0 Zit.
Self-supervised domain adaptive cervical lesion segmentation with cross scale attention
2026-04-04 · 0 Zit.
Top 8 Autoren
von 140.240 Autoren insgesamt
P. J. van Diest
Utrecht University
Yudong Zhang
First Affiliated Hospital of Guangzhou Medical University
Henning Müller
Central University of Technology
Robert Klopfleisch
Freie Universität Berlin
Aboul Ella Hassanien
Cairo University
Chris Taylor
St George's, University of London
Stephen M. Hewitt
National Institutes of Health
U. Rajendra Acharya
University of Southern Queensland
Top 8 Institutionen
von 936 Institutionen insgesamt
Vellore Institute of Technology University
IN
Saveetha University
IN
Manipal Academy of Higher Education
IN
SRM Institute of Science and Technology
IN
Amrita Vishwa Vidyapeetham
IN
Lovely Professional University
IN
Prince Sattam Bin Abdulaziz University
SA
Princess Nourah bint Abdulrahman University
SA